Robotics AI Engineer

The Opportunity

The Physical AI Lab is leading the integration of advanced AI technologies with real-world physical systems. As part of this effort, the team is building various AI labs based in Alpharetta and seeks individuals interested in a long-term commitment to this growing practice.

As a Senior Consultant in Physical AI, you will work closely with clients and cross-functional teams across to design and deliver innovative solutions that combine robotics, software, and open-source technologies. This role provides a strong platform for ongoing learning and research, enabling you to help transform how organizations apply AI across industries. You will play a key role in shaping the future of Physical AI by contributing to new methodologies and technologies that address complex, real-world challenges.

Key Responsibilities

In this role, you will be responsible for delivering advanced Physical AI solutions and driving innovation across the practice. Key responsibilities include:

• Designing and delivering reusable, scalable demonstrations that showcase the seamless integration of software and hardware in Physical AI applications.

• Presenting innovations and serving as a subject-matter expert at hosted events, including innovation summits and technology showcases.

• Analyzing market trends and conducting strategic assessments to guide solution development, identify emerging opportunities, and position the team’s capabilities within the evolving Physical AI landscape.

• Leveraging deep expertise in the NVIDIA ecosystem to architect and execute solutions aligned with stakeholder and client needs.

• Leading robotics development initiatives with a focus on perception, autonomous navigation, and world foundation models to improve operational efficiency and safety.

• Collaborating closely with diverse stakeholders to gather requirements and provide technical leadership throughout the end to end project lifecycle.

Skills and Attributes for Success

Success in this role requires a strong blend of technical capability and interpersonal effectiveness. Ideal candidates will demonstrate the following qualities:

• A strong passion for innovation paired with a proactive, solutions oriented mindset.

• Exceptional communication skills, with the ability to clearly articulate complex concepts to a wide range of audiences.

• Strong analytical thinking to inform project direction, problem-solving, and decision-making.

• Proven ability to build and sustain trusted relationships with clients and colleagues, fostering a highly collaborative environment.

• A commitment to delivering high-quality client outcomes while continuously seeking opportunities for improvement.

To Qualify for the Role, You Must Have

• Bachelor’s degree in a relevant discipline such as Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering.

• 3–6 years of professional experience in areas including robotics, digital twins, computer vision, deep learning, reinforcement learning, and world foundation models such as VLA and VA.

• Demonstrated experience designing and deploying scalable AI systems that effectively integrate software and hardware components.

• Strong programming proficiency in Python, C++, and/or Java, with hands-on experience using robotics frameworks (e.g., ROS) and simulation platforms (e.g., NVIDIA Isaac Sim).

• Deep familiarity with the NVIDIA ecosystem, including practical experience leveraging NVIDIA technologies for robotics and AI solution development.

• Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration such as LiDAR and vision systems.

• Working knowledge of machine learning methods applied to robotics, automation, and intelligent decision-making.

• Experience designing, building, and maintaining robotics platforms and digital twin solutions, with an emphasis on real-time data integration and simulation.

• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy), along with hands-on experience using machine learning frameworks such as TensorFlow or PyTorch.

• Experience with DevOps and delivery tools (e.g., Git, Azure DevOps) and Agile practices (e.g., Jira) to support multi-feature development, pipelines, and releases.

• Strong communication skills, with the ability to clearly present technical insights, recommendations, and opportunities to both clients and internal teams.

• Willingness to travel as needed to support client engagements and stakeholder collaboration.

Ideally, You’ll Also Have

• Advanced degree (Master’s or Ph.D.) in Robotics, Computer Science, Mechanical or Aerospace Engineering, Electrical Engineering, or a related quantitative discipline; graduate research experience may be considered in lieu of some industry experience.

• Prior experience conducting research in robotics, automation, or digital twin technologies, including contributions to academic journals or conference publications that demonstrate technical depth and research impact.

• Strong proficiency in computer vision techniques and libraries for object detection, tracking, and recognition, with demonstrated application in robotic systems.

• Proven ability to develop and optimize algorithms for path planning, motion planning, and autonomous decision making to improve system performance and efficiency.

• Familiarity with Hardware in the Loop (HIL) testing approaches to validate robotic system performance through real time integration of hardware and simulation environments.

• Strong understanding of, or demonstrated interest in, Agentic AI and Generative AI, with the ability to explore and implement innovative use cases in Physical AI systems.